YLearn | python package for causal inference

 by   DataCanvasIO Python Version: 0.2.0 License: Apache-2.0

kandi X-RAY | YLearn Summary

kandi X-RAY | YLearn Summary

YLearn is a Python library. YLearn has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install YLearn' or download it from GitHub, PyPI.

YLearn, a pun of "learn why", is a python package for causal inference which supports various aspects of causal inference ranging from causal effect identification, estimation, and causal graph discovery, etc.
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              YLearn has a low active ecosystem.
              It has 294 star(s) with 59 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 11 open issues and 16 have been closed. On average issues are closed in 58 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of YLearn is 0.2.0

            kandi-Quality Quality

              YLearn has no bugs reported.

            kandi-Security Security

              YLearn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              YLearn is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              YLearn releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

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            YLearn Key Features

            No Key Features are available at this moment for YLearn.

            YLearn Examples and Code Snippets

            No Code Snippets are available at this moment for YLearn.

            Community Discussions

            No Community Discussions are available at this moment for YLearn.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install YLearn

            In this part, we first show several simple example usages of YLearn. These examples cover the most common functionalities. Then we present a case stuy with Why to unveil the hidden causal relations in data.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install ylearn

          • CLONE
          • HTTPS

            https://github.com/DataCanvasIO/YLearn.git

          • CLI

            gh repo clone DataCanvasIO/YLearn

          • sshUrl

            git@github.com:DataCanvasIO/YLearn.git

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